Image OCR
Recognise Chinese and English in an image · proofread the result · average confidence shown
点击选择或拖拽一张图片到此处
JPG / PNG / WebP;单张 ≤100MB、≤2000 万像素;PDF 请先用「PDF 转图片」工具
识别结果可能有错字(形近字、跨行断句尤易错),正式使用前请逐字核对。
怎么让识别更准
清晰度是第一变量。印刷体、边缘清楚、对比度高的图识别率最高;模糊、低光、强阴影的图准确率会明显下降。如果原图很大(长边 4000px 以上),可以先用「图片压缩/批量改尺寸」缩到长边 2000px 左右再识别——通常更准也更快,因为模型对小字相对更敏感。
摆正、少干扰。倾斜的文字、大面积装饰花纹、水印压在字上都会拉低准确率。能提前裁掉无关区域就裁掉;截图里的纯色底文字基本都能拿满。
本地识别的真实含义。本页没有"识别服务"——引擎是跑在你浏览器里的开源 OCR(tesseract.js)+ 自托管的语言模型,识别过程不依赖任何服务器;图片不出本机这一点可以用 Network 面板验证:整个识别期间没有任何上传请求,只有首次点击时那一次来自本站的模型下载。
FAQ
Only after you first click 'start recognition' does the page load the recognition engine and language models (about 8.5MB, served entirely from this site's own domain, never through any third party); recognition then runs in a background thread of the browser - images never leave your machine and pass through no server. Verifiable in the Network panel: before the click there are no model requests at all, and during recognition there are no upload requests at all.
Simplified Chinese plus English (chi_sim + eng, the default) and English-only (eng, a smaller model and faster). Accuracy drops noticeably on handwriting, heavy blur, artistic lettering and low-contrast images.
On clean printed text both Chinese and English are usable, but expect occasional wrong characters (look-alike glyphs and line-break splits are the most error-prone); the page reports an average confidence and the result is editable - proofread by a human before formal use, which is the page's stated policy.
The first run downloads and initializes the engine and models (about 8.5MB); later runs reuse them. If the network is bad, refresh and retry. Models load on demand - until you press the button, this page requests not a single byte of any model.
This page only accepts images. For PDFs, first convert to JPG / PNG with our 'PDF to image' tool, then recognize; scanned PDFs lack a text layer, and the same image-based flow applies to them.